Position: DS/ML Engineer

Engagement Mode: On-site
Min Exp :- 3 Years

Location: India(Gurgaon, Haryana, India)

Position Overview:

We are seeking a DS/ML Engineer to join the DS & AI team at ReNew Digital. The role requires end-to-end

ownership of ML use-cases with a strong focus on predictive maintenance, fast execution, production

deployment, and measurable business impact. The engineer will develop and deploy predictive maintenance

solutions using SCADA/sensor data, build scalable ML pipelines, and integrate with enterprise systems. This

is a high-ownership, on-site role involving direct collaboration with the DS Lead and rapid iteration cycles. Only

candidates with real, hands-on production deployment experience will be considered. The ideal candidate

brings 2 6 years of experience and a proven track record of delivering ML solutions from problem definition

through to production.

Key Responsibilities:

Deliver ML use-cases from problem definition to production

Build predictive models for inverter and transformer failure detection





Develop time-series models for sensor and SCADA data

Build data pipelines including ETL and feature engineering

Deploy ML models via APIs and batch pipelines

Monitor, retrain, and optimize deployed models

Deliver production-ready ML models with documentation

Build and maintain end-to-end data pipelines

Set up monitoring and retraining workflows

Produce deployment artifacts and technical documentation

Collaborate directly with the DS Lead in fast iteration cycles

Ensure code quality standards (PEP8 score of 7/10 or above)

Required Skills:

Python (pandas, numpy, scikit-learn)

Time-series modeling

ML lifecycle management

ETL and data pipeline development

Azure or cloud platform exposure

API development

EMBTalent | embtalent.ai

SCADA/IoT data handling

2 6 years of experience with production ML deployments

Preferred (Bonus) Skills:

Predictive maintenance domain knowledge

Deep learning

MLOps

GenAI/RAG exposure

📌 ML Engineer (India)
🏢 Sparix Global
📍 India